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Record W2954856558

Horizontal Shareholding within the European Competition Law Framework: Assessment and a Way Forward

2019· article· en· W2954856558 on OpenAlexaboutno aff
Riccardo Fadiga

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMonopolizationCompetition lawDominance (genetics)Competition (biology)EnforcementMerger controlOrder (exchange)Law and economicsHorizontal and verticalEconomicsPolitical scienceLawBusinessMarket economyGeographyFinance
DOInot available

Abstract

fetched live from OpenAlex

Horizontal shareholding engenders significant anticompetitive effects which current economic trends are exacerbating. Literature and institutions in Europe have yet to establish whether a suitable instrument within European competition law exists which may be applied to horizontal shareholding in order to curtail its intrinsic anticompetitive effects. This Article evaluates the state of the debate, analyses European competition law instruments, and shows that no adequate instrument is available. Ultimately, it proposes a novel approach to the notion of collective dominance suitable to support enforcement against horizontal shareholding on the basis of Article 102 TFEU. This material was first published by Thomson Reuters, trading as Sweet & Maxwell, 5 Canada Square, Canary Wharf, London, E14 5AQ, in European Competition Law Review and is reproduced by agreement with the publishers.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0030.021
Scholarly communication0.0180.019
Open science0.0030.006
Research integrity0.0120.005
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.228
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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